Matthew M. Boisvert

908 citations
8 papers · 631 indexed · 1 hit paper · h-index 4
Topics
Neuroscience and Neuropharmacology Research (2 papers)Neurotransmitter Receptor Influence on Behavior (2 papers)Neuroinflammation and Neurodegeneration Mechanisms (2 papers)
Partner nations
United States

In The Last Decade

Matthew M. Boisvert

7 papers receiving 626 citations

Hit Papers

The Aging Astrocyte Transcriptome from Multiple Regions o...20182026202020232018100200300400

Peers

Matthew M. Boisvert
Comparison fields: 5 of 75
  • Neurology 356
  • Molecular Biology 224
  • Cellular and Molecular Neuroscience 200
  • Physiology 157
  • Developmental Neuroscience 130
Replace Mykhailo Y. Batiuk with:
Mykhailo Y. Batiuk Denmark
João Filipe Viana Portugal
Jérôme Wahis Belgium
Stephanie Jamison United States
Niklas Meyer Germany
Zhe Qu United States
Anna A. Pimenova United States
Knut Biber Germany
Mar Puigdellívol Spain
Isabella Farhy-Tselnicker United States
Matthew M. Boisvert relative to Mykhailo Y. Batiuk Denmark Mykhailo Y. Batiuk's profile →
Citations per field
00.5×11×
Mykhailo Y. Batiuk · 1×
Citations per year

Countries citing papers authored by Matthew M. Boisvert

Since Specialization
Citations

This map shows the geographic impact of Matthew M. Boisvert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew M. Boisvert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. Boisvert more than expected).

Fields of papers citing papers by Matthew M. Boisvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew M. Boisvert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew M. Boisvert. The network helps show where Matthew M. Boisvert may publish in the future.

Co-authorship network of co-authors of Matthew M. Boisvert

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. Boisvert. A scholar is included among the top collaborators of Matthew M. Boisvert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew M. Boisvert. Matthew M. Boisvert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 3
3 68
4
The Aging Astrocyte Transcriptome from Multiple Regions of the Mouse Brainbreakdown →
487
5 1
6 27
7 42
8 3

About Matthew M. Boisvert

Matthew M. Boisvert is a scholar working on Neurology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 8 papers that have together received 631 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (356 citations), Developmental Neuroscience (130 citations) and Biological Psychiatry (47 citations). Matthew M. Boisvert has collaborated with scholars based in United States. Frequent co-authors include Nicola J. Allen, Maxim N. Shokhirev, Galina Erikson, Zhiwei Guan, Patricia S. Grigson, Jidong Fang, Matthew D. Puhl, Cari Dowling, Elena Blanco‐Suárez and Joseph R. Ecker. Their work appears in journals such as Nature, Cell Reports and eLife.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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